When could a linear discriminant give excellent or possibly even the optimal classification accuracy?
A linear model has a linear decision boundary. So in the case of the question, you need to draw two multimodal distributions whose domains do not overlap at all and then you can just say the linear model would should all to the right of some number would be class 1 and all to the left would be class 2